Benchmark Almanac

CulturalRiddles

Gemini 3.1 Pro 79.4% leads since October 2026
Not in model cards

Models solve original riddles written by people from 62 cultures in 51 languages. Solving them needs cultural knowledge plus abductive and compositional reasoning.

It had 41 Hugging Face paper upvotes and 12 GitHub stars.

Released
October 2026
Kind
Reasoning in many languages
Level
Everyday
Scored
Checked automatically
Answers
Short answer
Tasks
All public
Strongest model tested
GPT-5.5 #20 on the capability index
Last model added
July 2026
Scores refreshed
November 12th, 2026

In the authors’ words

As LLMs expand their language coverage, evaluating how well they understand and represent diverse cultures becomes increasingly important. However, many benchmarks remain English-centric, with limited cultural coverage and a focus on factual knowledge over its application in real-world cultural contexts. We propose CulturalRiddles, a benchmark of original, culturally grounded riddles created entirely by humans through a participatory community effort, spanning 62 cultures (45 countries, 51 languages). These riddles are deeply rooted in their respective cultures and require abductive and compositional reasoning, alongside detailed factual and social knowledge, language skills, and an understanding of culturally specific associations. We benchmark 28 LLM configurations using both automatic and large-scale human evaluation. Even frontier models achieve at most 22% accuracy in some communities. We publicly release all artifacts alongside an open contribution process to expand the benchmark's linguistic and cultural coverage.

Abstract of CulturalRiddles: A Multicultural Benchmark of Riddles (arXiv:2610.29968, CC0)
25
Entries on its own leaderboard, 20 models we track

Gemini 3.1 Pro leads with 79.4% among models released by July 2026

Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.

The newest model with a score here came out in July 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 1 Gemini 3.1 Pro default 79.4%
  2. 2 GPT-5.5 none 76.3%
  3. 3 Claude Opus 4.7 high 66%
  4. 4 DeepSeek-V4-Pro high 63.8%
  5. 5 Gemini 2.5 Flash (snapshot unspecified) default 50.1%
  6. 6 Gemma 4 31B IT default 39.6%
  7. 7 DeepSeek-V4-Flash default 39.2%
  8. 8 Mistral Large 3 N/A 38.5%
  9. 9 Gemini 2.5 Flash Lite (snapshot unspecified) default 33.6%
  10. 10 Qwen-SEA-LION 4.5 27B Instruct default 33.5%
  11. 11 Qwen3.5-27B default 28%
  12. 12 Apertus 1.5 70B N/A 19.6%
  13. 13 Apertus 70B N/A 15.2%
  14. 14 EuroLLM 22B Instruct N/A 15%
  15. 15 Amazon Nova Lite N/A 14.7%
  16. 16 Olmo 3 32B Think default 11.3%
  17. 17 Qwen2.5 14B Instruct AWQ N/A 10.4%
  18. 18 Apertus 1.5 8B N/A 10.4%
  19. 19 Amazon Nova Micro N/A 8.30%
  20. 20 Apertus 8B Instruct N/A 7.60%
  21. 21 Tiny Aya Global N/A 7.00%
  22. 22 Tiny Aya Earth N/A 6.90%
  23. 23 Tiny Aya Fire N/A 6.80%
  24. 24 Tiny Aya Water N/A 6.80%
  25. 25 Qwen3.5-0.8B default 0.40%

Source: Official CulturalRiddles leaderboard

#EntryScoreSettingDateSource
1 Gemini 3.1 Pro 79.4% default Feb 2026 Official leaderboard
2 GPT-5.5 76.3% none Apr 2026 Official leaderboard
3 Claude Opus 4.7 66% high Apr 2026 Official leaderboard
4 DeepSeek-V4-Pro 63.8% high Apr 2026 Official leaderboard
5 Gemini 2.5 Flash (snapshot unspecified) 50.1% default Official leaderboard
6 Gemma 4 31B IT 39.6% default Apr 2026 Official leaderboard
7 DeepSeek-V4-Flash 39.2% default Apr 2026 Official leaderboard
8 Mistral Large 3 38.5% N/A Dec 2025 Official leaderboard
9 Gemini 2.5 Flash Lite (snapshot unspecified) 33.6% default Official leaderboard
10 Qwen-SEA-LION 4.5 27B Instruct 33.5% default Official leaderboard
11 Qwen3.5-27B 28% default Feb 2026 Official leaderboard
12 Apertus 1.5 70B 19.6% N/A Jul 2026 Official leaderboard
13 Apertus 70B 15.2% N/A Sep 2025 Official leaderboard
14 EuroLLM 22B Instruct 15% N/A Official leaderboard
15 Amazon Nova Lite 14.7% N/A Dec 2024 Official leaderboard
16 Olmo 3 32B Think 11.3% default Nov 2025 Official leaderboard
17 Qwen2.5 14B Instruct AWQ 10.4% N/A Official leaderboard
18 Apertus 1.5 8B 10.4% N/A Jul 2026 Official leaderboard
19 Amazon Nova Micro 8.30% N/A Dec 2024 Official leaderboard
20 Apertus 8B Instruct 7.60% N/A Sep 2025 Official leaderboard
21 Tiny Aya Global 7.00% N/A Feb 2026 Official leaderboard
22 Tiny Aya Earth 6.90% N/A Feb 2026 Official leaderboard
23 Tiny Aya Fire 6.80% N/A Feb 2026 Official leaderboard
24 Tiny Aya Water 6.80% N/A Feb 2026 Official leaderboard
25 Qwen3.5-0.8B 0.40% default Feb 2026 Official leaderboard

Scores at each effort level

Models the leaderboard ran at two or more effort levels. We don’t have enough cost data here to say what the extra effort costs.

Lowest effort to highest, light to dark
GPT-5.5
search none
76.3%
Claude Opus 4.7
default high
66%
DeepSeek-V4-Pro
default high
63.8%

Source: Official CulturalRiddles leaderboard

ModelEffortHarnessScoreCost per taskOutput tokens
Gemini 3.1 Pro default 79.4%
GPT-5.5 none 76.3%
Claude Opus 4.7 high 66%
GPT-5.5 search 64.5%
DeepSeek-V4-Pro high 63.8%
Claude Opus 4.7 default 59.7%
DeepSeek-V4-Pro default 58.8%
Gemma 4 31B IT default 39.6%
DeepSeek-V4-Flash default 39.2%
Mistral Large 3 N/A 38.5%
Qwen3.5-27B default 28%
Apertus 1.5 70B N/A 19.6%
Apertus 70B N/A 15.2%
Amazon Nova Lite N/A 14.7%
Olmo 3 32B Think default 11.3%
Apertus 1.5 8B N/A 10.4%
Amazon Nova Micro N/A 8.30%
Apertus 8B Instruct N/A 7.60%
Tiny Aya Global N/A 7.00%
Tiny Aya Earth N/A 6.90%
Tiny Aya Fire N/A 6.80%
Tiny Aya Water N/A 6.80%
Qwen3.5-0.8B default 0.40%

Number one over time

Lab claims count from the day the card came out, independent runs from the model’s release.

Google DeepMind
Own leaderboard 1 leader

Source: Official CulturalRiddles leaderboard

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Best so far
0% 20% 40% 60% 80% 100% 2025 2026 Near the ceiling (85%) Gemini 3.1 Pro Mistral Large 3 Apertus 70B Amazon Nova Lite 0% 20% 40% 60% 80% 100% 2025 2026 Near the ceiling (85%) Gemini 3.1 Pro Mistral Large 3

Source: Official CulturalRiddles leaderboard

No lab model card reports it yet

We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.

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